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Siyuan Huang 0002

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affiliation: George Washington University, Washington, D.C., USA

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2020 – today

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2023
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Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM J. Emerg. Technol. Comput. Syst. 19(2): 16:1-16:24 (2023)
2020
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Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). AAAI 2020: 13813-13814
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Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, Jose A. Ouedraogo, Lin Li:
A Deep Learning Model for Early Detection of Fake News on Social Media^*. BESC 2020: 1-6
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Zilong Wu, Siyuan Huang, Rui Zhang, Lin Li:
Video Review Analysis via Transformer-Based Sentiment Change Detection. MIPR 2020: 330-335
[i2]
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  - journals/corr/abs-2004-12041
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Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Memory-efficient training with streaming dimensionality reduction. CoRR abs/2004.12041 (2020)

2010 – 2019

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2019
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Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles:
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR abs/1903.01635 (2019)
2017
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Siyuan Huang, Rui Zhang, Nuofei Li, Jiming Guo, Hongbo Jiang:
Automatic Mining of Multi-granularity Temporal Regularity from Trajectory Data. BDCAT 2017: 247-254
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Rui Zhang, Nuofei Li, Siyuan Huang, Peng Xie, Hongbo Jiang:
Automatic Prediction of Traffic Flow Based on Deep Residual Networks. MSN 2017: 328-337

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